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dc.contributor.authorChikowore, Gerald
dc.date.accessioned2018-10-18T09:58:08Z
dc.date.available2018-10-18T09:58:08Z
dc.date.issued2017-11-17
dc.identifier.citationChikowore, G. (2016). Modelling spatial distribution of Tsetse (Diptera: Glossinidae) in Masoka Area, an unexplored part of Mbire District, Zimbabwe (Unpublished master's thesis). University of Zimbabwe.en_US
dc.identifier.urihttp://hdl.handle.net/10646/3656
dc.description.abstractA study was conducted from March 2015 to December 2015 in order to model the distribution of two savannah species of tsetse (Glossina sensu stricto), Glossina morsitans morsitans and G. pallidipes in the Masoka area of the Mid-Zambezi valley in Zimbabwe. Two approaches were used. The first approach sought to model the probability of presence of both species in areas which were sampled but recorded zero tsetse catches using trap efficiency, sampling effort and suitable habitat cover. A probability threshold of 0.05 was used to distinguish areas which could be potentially infested from those that had low chances of tsetse occurrence. The resultant probability model pointed to an area of 104 km2 in size where G. m. morsitans could possibly be present (P > 0.05) whilst all areas which did not record G. pallidipes had a low probability of presence for the species (P < 0.05). This study showed that there was a high probability of tsetse presence in areas where the habitat was less degraded and low probability in settled areas where suitable tsetse habitat has been disturbed due to agricultural activities. The probability model therefore has the potential to optimize vector control strategies by streamlining areas of intervention. The second model was a predictive one built using tsetse presence-only data and climatic and environmental covariates. The model had an Area Under the Curve (AUC) of 0.80 for G. m. morsitans and 0.94 for G. pallidipes, indicating that the ability of the model to predict suitable tsetse habitat in the Masoka area was better than random (AUC = 0.5). Glossina morsitans morsitans occurrence was positively correlated to Normalised Difference Vegetation Index (NDVI), riverine forest and mopane woodlands whilst crop lands and temperature indices exhibited a strong negative correlation with its occurrence. Glossina pallidipes, on the other hand, had extremely specialised habitat requirements and was positively correlated to riverine forest. The species also had a positive correlation with NDVI but a negative correlation with mopane woodland.en_US
dc.description.sponsorshipThe European Union and African Carribbean Pacific Group of States, The GeosAf project, implemented by CIRAD and SPOT ISIS-CNES.en_US
dc.language.isoen_ZWen_US
dc.subjectsavannah speciesen_US
dc.subjecttsetse (glossina sensu stricto)en_US
dc.subjectglossina morsitans morsitansen_US
dc.subjectglossina pallidipesen_US
dc.subjectenvironmental covariatesen_US
dc.titleModelling spatial distribution of Tsetse (Diptera: Glossinidae) in Masoka area, an unexplored part of Mbire District, Zimbabween_US
dc.contributor.registrationnumberR033934Yen_US
thesis.degree.advisorChinwada, Peter
thesis.degree.advisorZimba, Moses
thesis.degree.advisorGuerrini, Luca
thesis.degree.countryZimbabween_US
thesis.degree.disciplineBiological Sciencesen_US
thesis.degree.facultyFaculty of Scienceen_US
thesis.degree.grantorUniversity of Zimbabween_US
thesis.degree.grantoremailspecialcol@uzlib.uz.ac.zw
thesis.degree.levelMScen_US
thesis.degree.nameMaster of Science (M.Sc.) in Tropical Entomologyen_US
thesis.degree.thesistypeThesisen_US
dc.date.defense2016-05


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